Jane Sinclair

3.7k citations
79 papers · 2.2k · 1 hit paper · h-index 21

Impact in

Papers in

Jane Sinclair

70 papers receiving 2.0k citations

Jane Sinclair's Hit Papers

Evaluating E-learning systems success: An empirical study 2019 · 797 citations
7970+2+4Years since publication250500750

Peers

Jane Sinclair
Comparison fields: 5 of 109
  • Computer Science Applications 841
  • Information Systems and Management 354
  • Health Informatics 40
  • Software 109
  • Information Systems 542
Replace Raian Ali with:
Raian Ali United Kingdom
Mike Joy United Kingdom
Daniel Burgos Spain
Erkki Sutinen Finland
Matti Tedre Finland
Miguel‐Ángel Sicilia Spain
John F. Pane United States
Andrés Monroy‐Hernández United States
Ig Ibert Bittencourt Brazil
Davinia Hernández‐Leo Spain
Jane Sinclair relative to Raian Ali United Kingdom Raian Ali's profile →
Citations per field
00.5×1.5×2.2×
Raian Ali · 1×
Citations per year

Countries citing papers authored by Jane Sinclair

Since Specialization
Citations

This map shows the geographic impact of Jane Sinclair's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jane Sinclair with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jane Sinclair more than expected).

Fields of papers citing papers by Jane Sinclair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jane Sinclair. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jane Sinclair. The network helps show where Jane Sinclair may publish in the future.

Co-authors

The 25 scholars most cited alongside Jane Sinclair, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jane Sinclair Line = papers co-authored together Jane Sinclair links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 79 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Evaluating E-learning systems success: An empirical study
Hit paper breakdown →
2019797
2 2014253
3
Introduction to Formal Specification and Z
1991194
4 201755
5 201648
6 201045
7 201844
8 201743
9 201941
10 202037
11 201337
12 201634
13 201533
14 202131
15 201430
16 201528
17
Identifying success factors for e-learning in Higher Education
201728
18 201824
19 201322
20 201520

About Jane Sinclair

Jane Sinclair is a scholar working on Computer Science Applications, Education, Developmental and Educational Psychology, Information Systems and Computational Theory and Mathematics, having authored 79 papers that have together received 2.2k indexed citations. Recurring topics across this work include Online Learning and Analytics (40 papers), Online and Blended Learning (21 papers), Innovative Teaching and Learning Methods (17 papers), E-Learning and Knowledge Management (10 papers), Teaching and Learning Programming (10 papers), Formal Methods in Verification (8 papers), Academic integrity and plagiarism (8 papers) and Experimental Learning in Engineering (7 papers). The work is most often cited by research in Computer Science Applications (841 citations), Information Systems and Management (354 citations), Health Informatics (40 citations), Software (109 citations) and Information Systems (542 citations). Jane Sinclair has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Mike Joy, Dimah Al-Fraihat, Ra’ed Masa’deh, Daniel F. O. Onah, Russell Boyatt, David Till, Judy Sheard, Jane Yin-Kim Yau, Päivi Kinnunen and Matthew Butler. Their work appears in journals such as ACM Transactions on Computing Education, Formal Aspects of Computing, International Journal of Information and Learning Technology, Frontiers in Veterinary Science and Computers in Human Behavior.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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